'MacGyver' Robot Can Use Found Objects to Solve Problems
Need to MacGyver your way out of a tough spot? Golem Krang, a robot designed by researchers at Georgia Tech, may soon be able to help. A Navy grant is funding work by researchers to create an algorithm that would give the robot the ability to use objects in its environment as tools to solve problems, such as the one pictured in a simulated scenario. (Source: Georgia Tech)
It's certainly hard to get your mind wrapped around the idea that an algorithm could drive a robot to figure out how pull that solider out from under the debris or throw a chair through a window to coordinate an escape from fire. That said, Design News' robotics coverage certainly shows we're making progress towards that goal. Great example of yet another instance where unleashing the creativity of the innovators is likely to result in some seriously extraordinary technology.
Beth, Agree. The world provides a wealth of inspiration to design cool and innovated autonomous robots from animals, to insects, now MacGyver. I wonder how MacGyer might feel that is job may be threaten by a robot? LOL
This sounds ambitious to the point of being too far-fetched. I think sometimes these projects are meant to evaluate 'bleeding-edge' technologies, determine the short-comings, and make a wish-list of new technologies.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.